Andrew J. Bulpitt

Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics

Differentiable physics modeling combines physics models with gradient-based learning to provide model explicability and data efficiency. It has been used to learn dynamics, solve inverse problems and facilitate design, and is at its inception of impact. Current successes have concentrated on general…